Awesome MCP Servers

Multi-database analysis MCP server (PostgreSQL, MySQL, SQLite). Inspects schemas, detects index problems, analyzes table bloat, and explains query plans for actionable database optimization.

An MCP server for Firebird SQL databases, enabling LLMs to securely access, analyze, and manipulate database content.

Connects to Neo4j graph databases with ability to use GDS functions ( when available), a read only mode , and set the sample size for schema detection

A lightweight MCP server for any database with a JDBC driver. Built with Quarkus and requires Java 21+.

A self-hosted MCP Server registry for private AI agents, supporting both PostgreSQL and SQLite databases.

Manage and query MariaDB databases using the Model Context Protocol (MCP), with support for SQL and vector search.

A meta-server for discovering and provisioning other MCP servers from a large database.

A server for persistent context management in Claude AI coding assistants, using a local SQLite database for storage.

An MCP server for integrating with Microsoft SQL Server databases.

Database migration risk analysis for Flyway and Liquibase. Detects dangerous schema changes — lock risks, data loss, destructive operations — before they hit production.

An MCP server for executing queries on a Microsoft SQL Server database.

You are working with the MCP MySQL Operations Server, a powerful tool that provides comprehensive MySQL database monitoring and analysis capabilities through natural language queries. This server offers 19 specialized tools for database administration, performance monitoring, and system analysis.

An MCP server based on Spring AI that executes arbitrary SQL queries against a configured MySQL database.

Integrate the Neo4j graph database with clients through natural language interactions.

A server for full integration with Oracle Database. Requires Oracle Instant Client libraries.

A server that provides tools to interact with an Oracle database.

MCP Persistence: your AI Agent now creates and manages databases on its own

Provides semantic search capabilities for PostgreSQL databases using the pgvector extension, with support for multiple embedding providers.

MCP-PostgreSQL-Ops is a professional MCP server for PostgreSQL database operations, monitoring, and management. Supports PostgreSQL 12-17 with comprehensive database analysis, performance monitoring, and intelligent maintenance recommendations through natural language queries.

A server that enables AI models to interact with PostgreSQL databases through a standardized interface.

An MCP server for querying a PostgreSQL database in read-only mode.

A Python server providing Retrieval-Augmented Generation (RAG) functionality. It indexes various document formats and requires a PostgreSQL database with pgvector.

An MCP server for querying databases and managing Kubernetes clusters.

Fetches and caches RSS feeds using a SQLite database for use with LLMs via the MCP protocol.

A collection of MCP servers for browser automation and database interaction, supporting Puppeteer, Postgres, MySQL, and Parquet.

Read-only access to Snowflake databases. Requires Snowflake connection information provided via MCP client configuration.

A Node.js MCP server for interacting with local SQLite databases, runnable via npx.

Logs statistical variations and unusual events in conversation structures to a SQLite database.

A server for managing and querying Vertica databases, including connection, schema, and security management.

Interact with your Mealie recipe database to manage and find recipes.